Description: The citizen science project Tierfund-Kataster systematically records wildlife-vehicle collisions and other incidents involving deceased animals using standardized and georeferenced data, submitted via a smartphone app or web platform. The primary goal is to identify hotspots of wildlife accidents and to develop long-term mitigation strategies. Furthermore, the collected data supports the detection and containment of animal diseases, such as African Swine Fever, and contributes to research on causes of wildlife mortality related to fencing, wind turbines, and railway infrastructure. The Federal State Hunting Association of Schleswig-Holstein and Kiel University initiated the prototype in 2011. In 2016, the German Hunting Association expanded the project to cover the entire country. On GBIF, the following species from the Tierfund-Kataster are represented: cervids, badgers, foxes, raccoons and raccoon dogs, squirrels, hedgehogs, and pheasants.
Global identifier:
Doi(
"10.15468/p5zhke",
)
DataMeasurements(
DataMeasurements {
domain: Unspecified,
station: None,
measured_variables: [],
methods: [],
},
)
Origins: /Wissenschaft/GBIF
Tags: Smartphone ? Schleswig-Holstein ? Bundesländer Deutschlands ? Afrikanische Schweinepest ? Windkraftanlage ? Daten ? Schieneninfrastruktur ? Mortalität ? Tier ? Wildlebende Tiere und Pflanzen ? Citizen Science ? Jagd ?
License: cc-by/4.0
Language: Englisch/English
Issued: 2025-05-02
Modified: 2025-07-18
Time ranges: 2025-05-02 - 2025-07-18
BIOCASE
https://my.tierfund-kataster.de/biocase/pywrapper.cgi?dsa=tfk_dtl (Unbekannt)Accessed 1 times.